Efficient Protocols for Set Membership and Range Proofs
By Jan Camenisch, Rafik Chaabouni, Abhi Shelat. 2008
324 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Dan Boneh
- Benedikt Bünz
- Joseph Bonneau
- Bryan Ford
- Jean-Pierre Hubaux
- Zhicong Huang
- Andrew Poelstra
- Gregory Maxwell
In Computer Networks and Communications
- Joseph Bonneau
- Bryan Ford
- J. Ramon
- Aurélien Bellet
- Dan Boneh
- Jean-Pierre Hubaux
- Gregory Maxwell
- Gaby G. Dagher
Citations in the corpus
- Provisions: Privacy-preserving Proofs of Solvency for Bitcoin Exchanges (2015, methodology): “We could have used more efficient range proofs [6, 7], but making these protocols non-interactive using the Fiat-Shamir heuristic requires that we use a trusted setup.”
- UnLynx: A Decentralized System for Privacy-Conscious Data Sharing (2017, background): “[15] present simple and efficient zero-knowledge proofs to prove that an encrypted value is in a specific range/set.”
- Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries (2018, methodology): “Our approach is 3We can use range proofs (Camenisch et al., 2008) to check that each input value lies in an appropriate interval without revealing anything else about the value.”
- Confidential Assets (2018, methodology): “Nor is it interactive, as is the scheme described in [5].”